Alternatives and similar repositories for deconfounded-lexicon-induction:

Users that are interested in deconfounded-lexicon-induction are comparing it to the libraries listed below

• rpryzant / causal-bert-pytorch
  Pytorch implementation of "Adapting Text Embeddings for Causal Inference"
  ☆85Updated 3 years ago
• rpryzant / causal-text
  Package for computing causal effects of text (as treatment)
  ☆70Updated 2 years ago
• acmi-lab / counterfactually-augmented-data
  Learning the Difference that Makes a Difference with Counterfactually-Augmented Data
  ☆169Updated 3 years ago
• adalmia96 / Cluster-Analysis
  ☆54Updated 3 years ago
• blei-lab / causal-text-embeddings
  Software and data for "Using Text Embeddings for Causal Inference"
  ☆124Updated 4 years ago
• valedica / twec
  Training Temporal Word Embeddings with a Compass
  ☆64Updated 2 years ago
• vveitch / causal-text-embeddings-tf2
  Tensorflow 2 implementation of Causal-BERT
  ☆70Updated last year
• rpryzant / deconfounded_lexicon_induction
  ☆21Updated 2 years ago
• jacobeisenstein / language-change-tutorial
  Tutorial on computational models of language change
  ☆114Updated 5 years ago
• eaclark07 / sms
  ☆43Updated 5 years ago
• bastings / interpretable_predictions
  Interpretable Neural Predictions with Differentiable Binary Variables
  ☆84Updated 3 years ago
• amaiya / causalnlp
  CausalNLP is a practical toolkit for causal inference with text as treatment, outcome, or "controlled-for" variable.
  ☆146Updated last month
• timoschick / bertram
  This repository contains the code for "BERTRAM: Improved Word Embeddings Have Big Impact on Contextualized Representations".
  ☆63Updated 4 years ago
• BoulderDS / human-centered-machine-learning
  ☆53Updated 5 years ago
• CogComp / perspectrum
  Perspectrum: a dataset of claims, perspectives and evidence documents
  ☆33Updated 5 years ago
• successar / FRESH
  ☆27Updated last year
• estebandito22 / PyTorchAVITM
  PyTorch Implementation of Autoencoding Variational Inference for Topic Models (Srivastava and Sutton 2017)
  ☆38Updated 5 years ago
• yala / text_nn
  Text classification models. Used a submodule for other projects.
  ☆68Updated 5 years ago
• Eric-Wallace / interpretability-tutorial-emnlp2020
  Materials for the EMNLP 2020 Tutorial on "Interpreting Predictions of NLP Models"
  ☆199Updated 4 years ago
• tongshuangwu / polyjuice
  ☆96Updated 2 years ago
• allenai / allentune
  Hyperparameter Search for AllenNLP
  ☆137Updated 2 weeks ago
• wwbp / empathic_reactions
  ☆41Updated 4 years ago
• ahoho / kd-topic-models
  Repo for EMNLP 2020 paper, "Improving Neural Topic Models using Knowledge Distillation"
  ☆31Updated 4 years ago
• uclanlp / gn_glove
  Learning Gender-Neutral Word Embeddings
  ☆46Updated 5 years ago
• ddemszky / framing-twitter
  Code for the paper "Analyzing Polarization in Social Media: Method and Application to Tweets on 21 Mass Shootings"
  ☆68Updated 2 years ago
• ipavlopoulos / context_toxicity
  Toxicity Detection in Context: Assuming that the comment exists in a thread and that the parent comment or/and the discussion topic are e…
  ☆27Updated last year
• ElementalCognition / glucose
  GLUCOSE: GeneraLized and COntextualized Story Explanations https://arxiv.org/abs/2009.07758
  ☆92Updated 4 years ago
• kawine / contextual
  How Contextual are Contextualized Word Representations?
  ☆41Updated 4 years ago
• amirfeder / CausaLM
  CausaLM: Causal Model Explanation Through Counterfactual Language Models
  ☆55Updated 4 years ago
• vlukiyanov / pt-avitm
  PyTorch implementation of AVITM (Autoencoding Variational Inference For Topic Models)
  ☆36Updated 2 years ago